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576 IEEE TRANSACTIONS ON COMMUNICATIONS, VOL. 53, NO. 4, APRIL 2005 Design of Sample Adaptive Product Quantizers for Noisy Channels
 

Summary: 576 IEEE TRANSACTIONS ON COMMUNICATIONS, VOL. 53, NO. 4, APRIL 2005
Design of Sample Adaptive Product Quantizers for Noisy Channels
Zahir Raza, Fady Alajaji, Senior Member, IEEE, and Tamás Linder, Senior Member, IEEE
Abstract--Channel-optimized vector quantization (COVQ) has
proven to be an effective joint source-channel coding technique
that makes the underlying quantizer robust to channel noise. Un-
fortunately, COVQ retains the high encoding complexity of the
standard vector quantizer (VQ) for medium-to-high quantization
dimensions and moderate-to-good channel conditions. A technique
called sample adaptive product quantization (SAPQ) was recently
introduced by Kim and Shroff to reduce the complexity of the VQ
while achieving comparable distortions. In this letter, we gener-
alize the design of SAPQ for the case of memoryless noisy chan-
nels by optimizing the quantizer with respect to both source and
channel statistics. Numerical results demonstrate that the channel-
optimized SAPQ (COSAPQ) achieves comparable performance to
the COVQ (within 0.2 dB), while maintaining considerably lower
encoding complexity (up to half of that of COVQ) and storage re-
quirements. Robustness of the COSAPQ system against channel
mismatch is also examined.

  

Source: Alajaji, Fady - Department of Mathematics and Statistics, Queen's University (Kingston)
Linder, Tamás - Department of Mathematics and Statistics, Queen's University (Kingston)

 

Collections: Engineering